Towards an inexact semantic complex event processing framework

Authors:
Qunzhi Zhou;Yogesh Simmhan;Viktor Prasanna
Affiliations:
University of Southern California, Los Angeles, CA, USA;University of Southern California, Los Angeles, CA, USA;University of Southern California, Los Angeles, CA, USA
Venue:
Proceedings of the 5th ACM international conference on Distributed event-based system
Year:
2011

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Abstract

Complex event processing (CEP) deals with detecting real-time situations, represented as event patterns, from among an event cloud. The state-of-the-art CEP systems process events as plain data tuples and are limited to detect precisely defined patterns. Emerging application areas like optimization in smart power grids require CEP to incorporate semantic knowledge of the domain for easier pattern specification, and detect inexact patterns in the presence of uncertainties. In this paper, we present motivating use cases, discuss limitations of existing CEP systems and describe our work towards an Inexact Semantic Complex Event Processing (InSCEP) framework.